klostest / uplift_modeling
☆17Updated 4 years ago
Alternatives and similar repositories for uplift_modeling:
Users that are interested in uplift_modeling are comparing it to the libraries listed below
- About uplift modeling☆30Updated 8 years ago
- ☆16Updated 5 years ago
- A Python package for Bayesian A/B Testing☆61Updated last year
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 6 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Automatic Feature Engineering for Time Series☆17Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- ☆27Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 6 months ago
- Bayesian AB Tests Examples☆22Updated 2 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Hypothesis testing (Parametric/Non-Parametric)☆11Updated 5 years ago
- SmartML: Supervised Machine Learning Automation in R☆25Updated 4 years ago
- Reatail-hero X5 contest☆12Updated 7 months ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆47Updated last month
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆18Updated 7 years ago
- Time Series Anomaly Detection Toolkit☆22Updated 5 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- Uplifted Contextual Multi-Armed Bandit☆19Updated 2 years ago
- Uplift Modeling for Multiple Treatments☆16Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Machine learning based causal inference/uplift in Python☆59Updated last year
- Example usage of scikit-hts☆57Updated 2 years ago
- Hyperparameter tuning and rolling time-series forecast for machine learning models☆17Updated 7 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- Unstructured Code with interesting analysis☆35Updated 3 months ago